Quantitative Finance Researcher Jobs

We are looking for a Portfolio Research Analyst to join our fast-paced and entrepreneurial Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We combine quantitative research with leading-edge technology to develop our unique algorithmic investment strategies. A culture of innovation, growth and success through collaboration and mutual respect has enabled us to deliver top tier performance for over two decades. This is a role within the Portfolio Construction group responsible for the construction of optimal portfolios and desired trades for those portfolios. You will be contributing to the ongoing advancement of our in-house equity portfolio optimization framework that directly drives our daily investment decisions for delivering exceptional portfolio performance over the long term. You will possess an understanding of the key drivers of equity portfolio construction, including equity forecasts, risk management, and transaction cost management. We are based in beautiful Vancouver, Canada; our team embraces the lifestyle and activities that life in Vancouver awards. What You Will Do This is an exciting role for an individual who is passionate about quantitative research and wants to apply a disciplined and scientific approach to portfolio construction. You will work with key decision makers on the team and have a broad range of responsibilities, including: Research and development – Conduct projects to enhance the portfolio optimization solutions by applying a variety of skills and techniques in finance, mathematical optimization, and statistics. Portfolio oversight – Monitor portfolio characteristics and ensure consistency with investment strategy and guidelines. Performance analysis – Conduct in-depth portfolio performance attribution to support decision making, performance evaluation, idea g

ROLE/RESPONSIBILTIES: We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing. The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading. Responsibilities may include: Using NLP to construct features from varied datasets Formulating research hypotheses to derive alpha Building and testing the performance of trading signals based on NLP and financial features Launching identified signals into production REQUIREMENTS: Bachelor’s, Master’s or PhD candidate in computer science or other quantitative discipline Proficient in Python and general software engineering principles (github, testing, dev workflow) Strong understanding of machine learning and statistics Prior research experience preferred Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred Data science stack familiarity preferred An interest in financial markets Great attitude A collaborative mindset Commitment to the highest ethical standards ABOUT POINT72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

Are you a self-starter who loves tackling challenging problems in a team-oriented, fast-paced environment? Do you love the idea of living in Vancouver? Our quantitative equity team is expanding, and we are looking for talented individuals whose skills and interests are aligned with the team’s mission to deliver superior investment performance to our clients through a disciplined, systematic investment approach. Jobs within our team lie at the exciting intersection of research, data science, finance, and technology. A culture of innovation, career growth and success through collaboration has enabled us to deliver superior investment performance to our clients for over two decades. Today, our clients entrust us with over $78+ billion USD in financial assets. What You Will Do This is an exciting opportunity for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management. You will then continue to a specialized group within our team based on a combination of your fit and preference. Your specialized role may involve building, scaling, managing, monitoring, and/or trading our quantitative model and portfolios. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Groups within our team where you can contribute and gain valuable experience include: Investment Process Management Our Investment Process Management (IPM) group plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to d

Integra FEC is hiring entrepreneurial and quantitatively skilled graduates with a background in economics and mathematics who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that works with government agencies and private entities to analyze complicated and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Main responsibilities include: Working as a data detective to examine potentially fraudulent patterns Conducting qualitative and quantitative research to identify opportunities to detect fraud and identify fraud detection methods Building, cleaning, compiling and analyzing datasets to find insights and fraud patterns using econometrics, statistics and other forms of analyses Building scripts, algorithms and code to process and analyze large datasets effectively and efficiently Presenting findings to technical and non-technical audiences Job Qualifications: PhD in Economics required, with Finance and Mathematics background a plus Familiarity with Python, SQL, R, or other scripting languages Proficiency in Microsoft Excel Attention to detail with big-picture understanding Ability to work well in teams Highest ethical standards. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We are seeking a Quantitative Risk Analysis, Associate II to join the Credit Analytics & Reporting team in the Single-Family division. This position will be tasked with developing deep understanding of data and current code, designing analytical approaches for business questions and scenario evaluations, managing data research, analyses and preparation of reports and presentations. Our Impact: Our team is responsible for producing reporting packages to monitor trends and performance. We analyze different test and learn or pilot programs to assess risk of the offerings and create reports to monitor these offerings closely to assess broad roll out. We perform significant user activities for different enterprise models for user acceptance testing and provide feedback. Your Impact: Implement baseline processes and reports monthly and interpret results as it relates to credit risk management. Follow appropriate controls and standards established to maintain and build documentation for processes & reports. Participate in performing ad-hoc analytics in support of credit policy. Cleanse, manipulate and analyze large datasets using statistical software. Collaborate with team members and interact across organizational lines to meet business objectives. Qualifications: Bachelor's Degree in Statistics, Economics, Finance, Mathematics, Computer Science, Data Science or related field, advanced Degree is a plus Minimum 1-3 years of releva

We are looking for a Data Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging data analytics, finance knowledge and cutting-edge technology, we aim to ensure that new and useful data products are continuously ready for research. Do you love the idea of integrating large proprietary data sources into valuable applications? Are you a wizard at transforming ‘messy reality’ into high quality data assets? As a core member of our team, you will collaborate with investment and data experts to tackle challenging problems, and to continuously expand our capabilities in data. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment outcomes and overall success. What You Will Do This is an exciting full-time role for individuals who are enthusiastic about learning the quantitative equity investment management business and excited to tackle a broad range of data, investment, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data analytics and data science skillsets to enable the Quantitative Equity Team’s research. Your role will involve identifying and assessing brand new data, data exploration, and proposing robust ways to integrate data products from many sources. You will be supported with coaching and mentorship from senior members of the team, and we will create the conditions for you to

We are looking for a Data Scientist to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-oiled machine responsible for generating key investment insights that drive trades. Leveraging data analytics, finance knowledge and cutting-edge technology, we aim to ensure that new and useful data products are continuously ready for research. Do you love the idea of evaluating and integrating large proprietary data sources into valuable applications? Are you a wizard at transforming ‘messy reality’ into high quality data assets? As a core member of our team, you will collaborate with investment and data experts to tackle challenging problems, and to continuously expand our capabilities in the data space. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment outcomes and overall success. What You Will Do This is an exciting full-time role for individuals who are enthusiastic about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science, machine learning, AI, and process engineering skillsets to accelerate the Quantitative Equity Team’s data preparation and modelling functions. Your specialized role will involve building, scaling, managing and evaluating our integrated data model, in direct support of alpha research. You will be supported with coaching and mentorsh

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We are currently seeking a Quantitative Risk Analysis Manager to join the Credit Analytics & Reporting team in the Single-Family division. This position will be tasked with managing a team responsible for reporting and analytics regarding Collateral offerings as well as Collateral model business user supports. The role requires deep understanding of data and current code base, designing analytical approaches for business questions and scenario evaluations, managing data research, analyses and preparation of reports and presentations. Our Impact: Our team is responsible for producing reporting packages to monitor trends and performance. We analyze different test and learn or pilot programs to assess risk of the offerings and create reports to monitor these offerings closely to assess broad roll out. We perform significant user activities for enterprise Collateral models for user acceptance testing and provide feedback. Your Impact: Manage a team of three to four people Complete baseline processes and reports monthly and interpret results as it relates to collateral risk management Follow appropriate controls and standards established to maintain and document for processes & reports. Participate in performing ad-hoc analytics in support of collateral policy Cleanse, manipulate and analyze large datasets using statistical software Collaborate with team members and interact across organizational lines to meet business objectives Qualifications: Degree in

Citi's Markets Quantitative Analysis (MQA) group is seeking a highly skilled VP Quantitative Analyst to join its Equities team. This role is central to the research, design, implementation, and maintenance of cutting-edge Equities Execution Algorithms for Citi's clients and internal trading desks, with a specific focus on North America and LATAM markets. This position offers a unique opportunity to apply strong quantitative, technical, and soft skills to foster innovation within a collaborative team culture, directly impacting trading businesses, control functions, and the global client base. Key Responsibilities Algorithmic Development & Enhancement: Design and develop new algorithms and strategies for the next generation equity trading platform initiative at Citi. Research, design, and implement improvements for existing algorithmic trading strategies (e.g., VWAP, liquidity seeking). Develop and enhance quantitative models, including optimal schedule, market impact models, and short-term predictive signals (e.g., fair value). Implement algorithm enhancements and customizations with production-quality code, applying best practices for modular, reusable, and robust trading components. Data Analysis & Modeling: Perform in-depth analysis of large datasets comprising market data, orders, executions, and derived analytics. Apply statistical modeling and machine learning techniques for data analysis and signal generation. Conduct flow analysis and performance tuning for various client flows. Provide data and analysis to support initial model validation and ongoing performance analysis. Collaboration & Support: Collaborate closely with traders, risk managers, product, sales, and technology teams to integrate quantita

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity A world-leading rapid-growth digital asset trading firm is looking for a systematic trader to manage quantitative trading strategies and help improve the in-house trading and risk management platform. The firm has presence in major cryptocurrency exchanges and it trades different kinds of products in the market, ranging from spot to structural products. The firm is highly tech-driven with people from top-tier investment banks, hedge funds, and tech companies. What You’ll Be Doing Make markets for delta1 instruments such as spots, swaps and futures in crypto market. Manage systematic trading strategies such as CEX/DEX arbitrage. Conduct research on alpha signals and backtesting to enhance the profitability of trading strategies. Work with developers to build and drive the continual improvement of the world-class risk management and trading tools. What We Look For In You Degree in a relevant area (Mathematics/Physics/Engineering/Computer Science/Finance) from a top university. Proven records in systematic trading including market making and other systematic trading strategies. De

About Cubist Cubist Systematic Strategies, an affiliate of Point72, is one of the world’s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Job Description The Central Research Technology team, which builds strategic solutions for research and live trading of quantitative strategies across multiple frequencies and products, is seeking a highly talented intern to work with the team in January. This is a unique opportunity to help design and build the next generation of research and quant trading systems for Cubist. Desirable Candidates Undergraduate or graduate candidates in computer science or engineering Significant experience in Python and/or C++ Interest in open source research tools for data science and machine learning Basic knowledge of linux, git, conda, and CI processes Knowledge of cloud, databases and distributed or streaming compute is a plus Reasonable quantitative and statistical skills Experience with Finance preferred Clear, concise, and proactive communicator Detail oriented and quick learner in a fast-paced environment Team player with strong pride of ownership Commitment to the highest ethical standards

About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About the team: The team is focused on systematic equity trading. It is established, yet still pre-trade, offering an exciting opportunity to join at an early stage and be involved in a broad range of development areas. The team members come from a mixture of quant analyst and development backgrounds, using the combination of skills to achieve a common goal. All team members are based in the London office five days a week to maximize communication and interaction. Role and Responsibilities: An ideal growth role to suit a developer looking for additional responsibilities and independence. Responsibilities may include: • Building components for all aspects of live trading and research environments. • Driving automation and robustness of our processes. • Developing robust data checking and handling procedures. • Monitoring and troubleshooting any issues that should arise. • Shared responsibility for timely and correct operation of trading systems. Requirements: • Bachelor’s degree or equivalent in computer science or other STEM discipline • 2+ years commercial experience with Python and its data science libraries on Linux. • Pragmatic balance between attention to detail and delivery focus. • Ability to work with ambiguous requirements. • Self-driven, owning problems while knowing when to seek advice. • Knowledge of finance and trading systems a plus. • Experience with a systems programming language (

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit’s Finance team is seeking a Growth Strategic Finance Senior Manager with a track record of delivering strategic projects from ideation to completion. We are looking for a motivated individual to act as a key player in our growth and strategic planning. The successful candidate will be responsible for driving and executing high-impact initiatives that align with our organizational goals. This role offers a unique opportunity to shape the future of our company and contribute to its long-term success. If you are someone who is passionate about growing with a rising business, values efficiency and creative problem-solving using financial/quantitative metrics, and thrives in a fast-paced, open and fast-growing environment, then this is a great role for you. Location : Remote - USA Responsibilities: Collaborate with cross-functional teams to identify and assess opportunities to drive users and revenue – emphasis on consumer and ads products, sales, and marketing Establish strong partnerships with key stakeholders to ensure seamless execution and drive initiatives from ideation to completion. Influence decisions and drive change through clear recommendations, constructive challenge, and stakeholder alignment. Build models, forecasts, and business cases to guide planning, investment, and resource allocation. Conduct thorough market research to analyze industry trends, competitive landscape, and user and advertiser needs. Develop and present strategic growth initiatives, leveraging insights from research. Work with

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. Dscout is currently hiring for an experienced Senior FP&A Analyst for an immediate need in AUSTIN, TX . This individual will report to the CFO and senior leadership and will be responsible for utilizing both quantitative and qualitative analyses of all operational aspects of the company in order to evaluate the company's progress toward achieving its goals and to map out future goals and plans. This individual will play a critical role in considering economic and business trends, reviewing past company performance, and anticipating obstacles and potential issues, all with an eye toward forecasting the company's future financial results. This person will work cross-functionally with other departments in the execution of the role's duties. If you are excited about the challenge of building an incredible product while also helping to mentor and build a great engineering team, we’d love to hear from you! What You Will Do at Dscout: Create, update, and maintain financial models and detailed forecasts of the company's future operations/ Assess and track overall financial health, primarily by using key financial ratios common to SaaS companies and marketplace/ Determine gross margin and net margin contributions of our products or product line/ Examine and evaluate the cost-efficiency of each department, in light of what percentage of the company's financial resources each department consumes. Work with individual departments to prepare budgets and consolidat

About Yondr Yondr is a disruptor. We challenge convention and simplify complexity. A global developer, owner operator and service provider of data centers, we deliver complex data center capacity needs for the world’s largest tech companies. Our exponential growth sees us looking for extraordinary people to help accelerate us towards our vision: a tomorrow without constraints. But we can’t do this without you. About the Role With continued growth across our business, we are actively seeking to have a new member join our team. This is an exciting role to join an existing group of skilled development and investment professionals, enhancing the team capabilities and becoming an integral part of a rapidly growing business. We are searching for someone who has excellent quantitative and analytical skills, is comfortable building financial models and has experience with communicating with internal and external stakeholders. You will be a highly valued and trusted member of our ambitious and hardworking team, in a business that continues to scale to new heights. Main Responsibilities / Take responsibility for development and management of financial models and valuation analysis in support of potential transactions and investment opportunities / Support in all aspects of financing processes included due diligence, project management, data room management, financial analysis, legal negotiations and preparation of materials / Work closely with the Development and Finance teams to perform detailed financial analysis on new developments as well as existing portfolio assets / Production of presentation material for senior management, board members, investors, lenders and joint venture partners / Assist with commercial negotiation of legal contracts for transactions / Research and analysis of market trends and sector / asset valuations / Support in business strategy and individual project delivery /